MODELING OF SURFACE PRESSURE FOR IMPROVED WELL CONTROL SAFETY
Abstract
Abstract
This project focuses on the Modeling of Surface Pressure for Improved Well
Control Safety. Effective surface pressure management is vital in preventing
catastrophic incidents such as blowouts, which threaten lives, the environment, and
petroleum assets. Traditional well control methods—such as the Drillers Method
and Engineers Method—often fall short under dynamic well conditions, especially
during gas blowouts. This study develops and validates predictive models using
computational techniques to simulate annular surface pressure under different kick
scenarios, with optimization achieved through a Multi-Objective Genetic
Algorithm. Results show that the Engineer’s Method offers advantages in reducing
surface pressure surges, while the Driller’s Method presents higher pressures but
operational simplicity. Findings highlight the importance of accurate predictive
modeling in mitigating risks and enhancing safety in petroleum drilling operations.
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